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Explore advanced data curation and visualization techniques for Large Language Models using NVIDIA's CUDA-accelerated machine learning library in this technical conference talk. Learn how to leverage GPU-accelerated algorithms including DBSCAN clustering and t-SNE dimensionality reduction to dramatically improve performance when processing and visualizing large datasets for LLM applications. Discover the architectural advantages of CUDA-X libraries and understand why GPUs excel at accelerating these specific machine learning algorithms compared to traditional CPU-based approaches. Gain insights into performance optimization strategies from NVIDIA AI specialists who demonstrate practical implementations of high-performance data curation workflows. Master the integration of cuML with existing machine learning pipelines and learn best practices for scaling data preprocessing tasks that are critical for LLM training and inference workflows.
